Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...